proteomic-profiling-of-macrophages-by-2d-electrophoresis

Proteomic Profiling of Macrophages by 2D Electrophoresis

The goal of the two-dimensional (2D) electrophoresis protocol described here is to show how to analyse the phenotype of human cultured macrophages. The ...

University Lille Nord de France

Macrophages are involved in various important biological processes and their functions are tightly regulated. Hydrophobic proteins are difficult to analyse by 2-DE because of their intrinsic tendency to self-aggregate during the first dimension (IEF). We have compared two protocols for extracting, separating and identifying membrane proteins from human macrophages by MALDI-TOF MS. The first protocol used protein extraction by solvent, followed by 2-DE and allowed us to identify 10% membrane proteins among the proteins identified a being like the peroxisome-activated receptor delta. The second method is based on solubilizing the membranes with Triton X-100, separating the proteins by anion-exchange chromatography followed by SDS-PAGE. This method allowed us to identify 49 membrane proteins, including four integral membrane proteins, ten type I, two type II and one type III membrane proteins. Several receptors were identified, including integrin alpha-3 and ephrin type A receptor 7. Interestingly, several proteins involved in macrophage functions were identified, such as integrin alpha-X and macrophage mannose receptor. These findings show that techniques are available to identify membrane proteins, but that they require large quantities of cells which means that they are not suitable for the limiting amounts of precious samples available from clinical studies.

Profiling of membrane proteins from human macrophages: comparison of two approaches.

Recent improvements in therapeutic strategies did not prevent left ventricular remodeling (LVR), which remains a common event (30%) after acute myocardial infarction (AMI). We report the use of a systematic approach, based on comparative proteomics, to select circulating biomarkers that may be associated with LVR. We selected 93 patients enrolled in a prospective study. These patients with anterior wall Q-wave AMI underwent echocardiographic follow-up at hospitalization, 3 months and 1 year after AMI. They were divided into three groups (no, low, or high remodeling). Plasma samples of these patients (day 5 of hospitalization) were processed and stored at -80 degrees C within 2 h and analyzed using SELDI-TOF protein chip technology. This systematic approach allowed to select candidate proteins modulated by LVR: post-translational variants of alpha1-chain of haptoglobin (Hpalpha1) corresponding to m/z 9493, 9565, and 9623, which were more elevated in remodeling patients. The peak 9493 m/z was shown having a receiving-operating characteristic (ROC) value of 0.71 between non- and remodeling patients. SELDI-TOF approach may lead to the identification of circulating proteins associated with LVR. Whether these candidate proteins will help to identify patients who are at high risk of heart failure after AMI will have to be tested in future studies.

Predicting left ventricular remodeling after a first myocardial infarction by plasma proteome analysis.

Macrophages are believed to play a crucial role in atherogenesis and atherosclerotic plaque progression, mainly through their role in the accumulation of large amounts of cholesteryl ester and foam cell formation after the uptake into the arterial intima of oxidized LDL (oxLDL) particles known to be proatherogenic. The aim of this study was to use a differential proteomic approach to identify the response of human monocyte-derived macrophages after treatment with oxLDL for 24 h. Mass spectrometry analysis (MALDI-TOF) of 2D-DIGE gels made it possible to identify 9 intracellular and 3 secreted proteins that were up-regulated, 11 intracellular and 1 secreted proteins that were down-regulated, and 2 secreted proteins that were induced. This methodological approach not only confirmed the differential expression levels of proteins known to be regulated by oxLDL in macrophages, such as catalase and pyruvate kinase, but also identified oxLDL modulation of other proteins for the first time, including heat shock proteins (HSP) and Actin cytoskeletal proteins. Semiquantitative Western blot confirmed their role. The HSPs identified included heat shock cognate 71 kDa protein (Hsc70), 75 kDa glucose-regulated protein (GRP75), heat shock 70 kDa protein (Hsp70), and 60 kDa (Hsp60) proteins. These highly conserved intracellular protein chaperones, commonly seen in atherosclerotic plaques, appear to participate in protection against cellular stress. Interestingly, oxLDL also modulated several F-Actin capping proteins involved in Actin polymerization and motility: gelsolin, CapG, and CapZ. In conclusion, we have demonstrated the effects of oxLDL in the modulation of several proteins in human macrophages and established a functional profile of the human macrophage during the atherosclerotic process.

Application of saturation dye 2D-DIGE proteomics to characterize proteins modulated by oxidized low density lipoprotein treatment of human macrophages.

Abdominal aortic aneurysms (AAA) are defined by an increased aortic diameter and characterized by impairment of the extracellular matrix, macrophages infiltration and decreased density of smooth muscle cells. Our aim is to identify the key molecules involved in the pathogenesis of AAAs. This study investigated transcriptomic and proteomic profiles of macrophages from AAA patients (>50 mm aortic diameter) (n = 24) and peripheral arterial occlusion (PAO) patients without AAA detected (n = 18), who both needed a surgery. An antibody protein microarray, generated by printing antibodies onto membranes against proteins selected from the transcriptomic and proteomic analysis, was performed to validate the proteins differentially expressed specifically in macrophages and plasma from the same patients. We found a restricted number of proteins differentially expressed between AAA and PAO patients: TIMP-3, ADAMTS5, and ADAMTS8 that differ significantly in plasma of AAA patients compared to PAO patients, as found in the macrophages. In contrast to plasma MMP-9, soluble glycoprotein V (sGPV) and plasmin-antiplasmin complex levels, plasma TIMP-3 levels were not correlated to AAA size but interestingly correlated to sGPV, a platelet activation marker. Combining transcriptomic and proteomic is a valid approach to identify diseases causing proteins and potential biomarkers.

Profile of macrophages in human abdominal aortic aneurysms: a transcriptomic, proteomic, and antibody protein array study.

Depletion of major blood proteins is one of the most promising approaches to accessing low-abundance biomarkers. This study compared the use of combinatorial peptide ligand library (CPLL) and albumin and immunoglobulins (IgGs) depletion technology for accessing these low-abundance proteins in plasma using 2-DE in an acidic restricted pH range (4-7). Compared with native plasma, both techniques enlarge the visibility of other proteins than albumin and IgG, but there were marked differences in their composition. An increase of the number of spots was detected compared with native plasma (157 spots) with 427 and 557 spots, respectively, detected with albumin and IgG depletion, and CPLL treatment. We selected 70 spots to be identified by MALDI-TOF related to their absence in the 2-D gels from native or albumin and IgG-depleted plasma. The 42 spots identified corresponded to 24 different proteins, with more than half of the proteins which did not belong to the major plasma proteins. CPLL treatment allowed the accessibility to proteolytic fragments obtained from major plasma proteins. We found a large superiority of the CPLL approach over the albumin and IgG depletion process. These findings show the utility of depleting major blood proteins to be able to access low-abundance proteins and the potential of CPLL to select and identify candidate biomarkers in clinical studies.

Combinatorial peptide ligand library plasma treatment: Advantages for accessing low-abundance proteins.

The aim of our study was to analyze the proteomic pattern of human macrophages obtained over a 4 year period from blood donors. The purpose was to simulate a long-term clinical study to assess the application of 2-D DIGE technique for differential proteomic analysis of these scarce samples. Bioinformatic analysis of 2-D DIGE gels of 19 different cultures of macrophages assessed whether they did or did not contain at least specific five spots identified by MS as being or containing bovine deoxyribonuclease I (DNase I). Bovine DNase I was used during sample treatment to remove nucleic acids from protein extracts. Macrophages were classified in two groups, which appeared to be differentiated by the completeness of DNase I treatment. Further detailed analysis revealed a different proteomic pattern of macrophage protein samples according to the completeness of this treatment. The major group of proteins affected, accounting for one third of the differentially expressed proteins, included proteins involved in cell motion and actin cytoskeleton reorganization. The use of DNase I for the removal of nucleic acids from protein samples must be avoided in proteomic studies since it can generate bias in the analysis of protein expression patterns.

Impact of incomplete DNase I treatment on human macrophage proteome analysis.

Depletion of major blood proteins is one of the most promising approaches to accessing low abundance biomarkers for proteomics studies. The use of combinatorial peptide ligand library (CPLL) for accessing these low abundance proteins in plasma from patients with a myocardial infarction (MI) was tested to identify candidate protein biomarkers of left ventricular remodeling (LVR).

Deep plasma proteomic analysis of patients with left ventricular remodeling after a first myocardial infarction.

Analysis by SELDI-TOF-MS of low abundance proteins makes it possible to select peaks as candidate biomarkers. Our aim was to define a purification strategy to optimise identification by MS of peaks detected by SELDI-TOF-MS from plasma or serum, regardless of any treatment by a combinatorial peptide ligand library (CPLL). We describe 2 principal steps in purification. First, choosing the appropriate sample containing the selected peak requires setting up a databank that records all the m/z peaks detected from samples in different conditions. Second, the specific purification process must be chosen: separation was achieved with either chromatographic columns or liquid-phase isoelectric focusing, both combined when appropriate with reverse-phase chromatography. After purification, peaks were separated by gel electrophoresis and the candidate proteins were analyzed by nano-liquid-chromatography-MS/MS. We chose 4m/z peaks (9400, 13,571, 13,800 and 15,557) selected for their differential expression between two conditions, as examples to explain the different strategies of purification, and we successfully identified 3 of them. Despite some limitations, our strategy to purify and identify peaks selected from SELDI-TOF-MS analysis was effective.

Strategy for purification and mass spectrometry identification of SELDI peaks corresponding to low-abundance plasma and serum proteins.

In this study, we developed a novel computational approach based on protein-protein interaction networks to identify a list of proteins that might have remained undetected in differential proteomic profiling experiments. We tested our computational approach on two sets of human smooth muscle cell protein extracts that were affected differently by DNase I treatment. Differential proteomic analysis by saturation DIGE resulted in the identification of 41 human proteins. The application of our approach to these 41 input proteins consisted of four steps: (i) Compilation of a human protein-protein interaction network from public databases; (ii) calculation of interaction scores based on functional similarity; (iii) determination of a set of candidate proteins that are needed to efficiently and confidently connect the 41 input proteins; and (iv) ranking of the resulting 25 candidate proteins. Two of the three highest-ranked proteins, beta-arrestin 1, and beta-arrestin 2, were experimentally tested, revealing that their abundance levels in human smooth muscle cell samples were indeed affected by DNase I treatment. These proteins had not been detected during the experimental proteomic analysis. Our study suggests that our computational approach may represent a simple, universal, and cost-effective means to identify additional proteins that remain elusive for current 2D gel-based proteomic profiling techniques.

Identification of additional proteins in differential proteomics using protein interaction networks.

Heart failure (HF) following myocardial infarction (MI) is characterized by progressive alterations of left ventricular (LV) structure and function, named LV remodelling. Although several risk factors such as infarct size have been identified, HF remains difficult to predict in clinical practice. Recently, using phosphoproteomic technology, we found that serine(208)-phosphorylated troponin T (P-Ser(208)-TnT) decreases in LV of HF rats. Our aim was to determine the performance of P-Ser(208)-TnT as plasma biomarker of HF compared to conventional cardiac biomarkers such as B-type natriuretic peptide (BNP), cardiac troponin I (cTnI), C-reactive protein (CRP) or tissue inhibitor of metalloproteinase I (TIMP-1) measured by x-MAP technology, as well as its capacity to reflect a pharmacological improvement of HF. We observed a significant increase of BNP, TnT and cTnI levels and a significant decrease of P-Ser(208)-TnT and TIMP-1 in the plasma of 2-month-MI rats compared with control rats with no modulation of CRP level. Circulating levels of P-Ser(208)-TnT were shown to be associated with most of the echocardiographic and haemodynamic parameters of cardiac function. We verified that the decrease of P-Ser(208)-TnT was not because of an excess of phosphatase activity in plasma of HF rats. Two-month-MI rats treated with the heart rate reducing agent ivabradine had improved LV function and increased plasma levels of P-Ser(208)-TnT. Thus, circulating phosphorylated troponin T is a highly sensitive biological indicator of cardiac dysfunction and has the potentiality of a new biomarker of HF post-MI, and of a surrogate marker for the efficacy of a successful treatment of HF.

Circulating plasma serine208-phosphorylated troponin T levels are indicator of cardiac dysfunction.

Left ventricular (LV) remodeling following myocardial infarction (MI) is characterized by progressive alterations of structure and function, named LV remodeling. Although several risk factors such as infarct size have been identified, LV remodeling remains difficult to predict in clinical practice. Changes within the extracellular matrix, involving matrix metalloproteinases (MMPs) and tissue inhibitors of metalloproteinases (TIMPs), are an integral part of left ventricular (LV) remodeling after myocardial infarction (MI). We investigated the temporal profile of circulating MMPs and TIMPs and their relations with LV remodeling at 1 year and clinical outcome at 3 years in post-MI patients.

Serum MMP-8: a novel indicator of left ventricular remodeling and cardiac outcome in patients after acute myocardial infarction.

Remote ischemic preconditioning (RIPC) has emerged as an attractive strategy in clinical settings. Despite convincing evidence of the critical role played by circulating humoral mediators, their actual identities remain unknown. In this study, we aimed to identify RIPC-induced humoral mediators using a proteomic approach.

Apolipoprotein a-I is a potential mediator of remote ischemic preconditioning.

Remote ischemic preconditioning's (RIPC) ability to render the myocardium resistant to subsequent prolonged ischemia is now clearly established in different species, including humans. Strong evidence suggests that circulating humoral mediators play a key role in signal transduction, but their identities still need to be established. Our study sought to identify potential circulating RIPC mediators using a proteomic approach. Rats were exposed to 10-min limb ischemia followed by 5- (RIPC 5') or 10-min (RIPC 10') reperfusion prior to blood sampling. The control group only underwent blood sampling. Plasma samples were isolated for proteomic analysis using surface-enhanced laser desorption and ionization - time of flight - mass spectrometry (SELDI-TOF-MS). A total of seven proteins, including haptoglobin and transthyretin, were detected as up- or down-regulated in response to RIPC. These proteins had previously been identified as associated with organ protection, anti-inflammation, and various cellular and molecular responses to ischemia. In conclusion, this study indicates that RIPC results in significant modulations of plasma proteome.

Olivia Beseme

Inserm UMR744

University Lille Nord de France

Proteomic Profiling of Macrophages by 2D Electrophoresis

Olivia Beseme

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University Lille Nord de France

Proteomic Profiling of Macrophages by 2D Electrophoresis

Inserm UMR744